Data Analysis and Plotting in Python with Pandas (training course, online)
Adel Dabah
(Course no. 752025 in the training programme 2025 of Forschungszentrum Jülich)
This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.
Contents:
Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis.
This course will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
Attendees should have run a Python program before and know the bare minimum of the programming language.
You will be using your own computer for the exercises.
Contents level | in hours | in % |
|---|---|---|
Beginner's contents: | 0 h | 0 % |
Intermediate contents: | 3 h | 100 % |
Advanced contents: | 0 h | 0 % |
Community-targeted contents: | 0 h | 0 % |
Prerequisites:
Some knowledge of Python
Target audience:
Scientists who want to use Pandas for data analysis
Language:
This course is given in English.
Duration:
half a day
Date:
13 May 2025, 09:00-13:00
Venue:
Online
Number of Participants:
minimum 5, maximum 25
Instructor:
Adel Dabah (JSC)
Contact:
Adel Dabah
ATML Accelerating Devices Team
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 207
Registration:
The registration form will be available in February.